How do you incorporate demographic data into your research – especially when the data is difficult to find, or requires additional context to interpret? In this workshop, we will introduce a method for fetching data using tidycensus, a package for the open-source programming language R (No prior experience with R required.)
As a case study, we will focus on fetching & interpreting data about queer and trans communities in the United States from the 1980s through the 2010s. We will explore how the shifting landscape of legal protections, discrimination, and data collection methodologies influence the availability of data to pursue LGBTQIA+-related research questions . However, the tools and methodologies covered will apply to a wide range of Census research topics and questions.